Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia Q Long, S Bhinge, VD Calhoun, T Adali NeuroImage 216, 116872, 2020 | 43 | 2020 |
Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia S Bhinge, Q Long, VD Calhoun, T Adali Frontiers in neuroscience 13, 1006, 2019 | 42 | 2019 |
Consistent run selection for independent component analysis: Application to fMRI analysis Q Long, C Jia, Z Boukouvalas, B Gabrielson, D Emge, T Adali 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 39 | 2018 |
Non-orthogonal constrained independent vector analysis: Application to data fusion S Bhinge, Q Long, Y Levin-Schwartz, Z Boukouvalas, VD Calhoun, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics Q Long, S Bhinge, Y Levin‐Schwartz, Z Boukouvalas, VD Calhoun, ... Human brain mapping 40 (2), 489-504, 2019 | 23 | 2019 |
Independent vector analysis based subgroup identification from multisubject fMRI data H Yang, MABS Akhonda, F Ghayem, Q Long, VD Calhoun, T Adali ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
Independent Component and Graph Theory Analyses Reveal Normalized Brain Networks on Resting‐State Functional MRI After Working Memory Training in People With HIV C Jia, Q Long, T Ernst, Y Shang, L Chang, T Adali Journal of Magnetic Resonance Imaging 57 (5), 1552-1564, 2023 | 11 | 2023 |
Identification of homogeneous subgroups from resting-state fMRI data H Yang, T Vu, Q Long, V Calhoun, T Adali Sensors 23 (6), 3264, 2023 | 11 | 2023 |
Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data S Bhinge, Q Long, VD Calhoun, T Adalı IEEE journal of selected topics in signal processing 14 (6), 1255-1264, 2020 | 11 | 2020 |
Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia Q Long, S Bhinge, VD Calhoun, T Adali Journal of neuroscience methods 350, 109039, 2021 | 8 | 2021 |
Consecutive independence and correlation transform for multimodal data fusion: discovery of one-to-many associations in structural and functional imaging data C Jia, MABS Akhonda, Y Levin-Schwartz, Q Long, VD Calhoun, T Adali Applied Sciences 11 (18), 8382, 2021 | 6 | 2021 |
Joint-IVA for identification of discriminating features in EEG: Application to a driving study B Gabrielson, MABS Akhonda, S Bhinge, J Brooks, Q Long, T Adali Biomedical Signal Processing and Control 61, 101948, 2020 | 6 | 2020 |
IVA using complex multivariate GGD: application to fMRI analysis R Mowakeaa, Z Boukouvalas, Q Long, T Adali Multidimensional Systems and Signal Processing 31, 725-744, 2020 | 6 | 2020 |
C-ICT for discovery of multiple associations in multimodal imaging data: Application to fusion of fMRI and DTI data C Jia, MABS Akhonda, Q Long, VD Calhoun, S Waldstein, T Adali 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 1-5, 2019 | 6 | 2019 |
Data-driven spatio-temporal dynamic brain connectivity analysis using falff: application to sensorimotor task data KM Hossain, S Bhinge, Q Long, VD Calhoun, T Adali 2022 56th Annual Conference on Information Sciences and Systems (CISS), 200-205, 2022 | 5 | 2022 |
Disjoint subspaces for common and distinct component analysis: Application to task FMRI data MABS Akhonda, Q Long, S Bhinge, VD Calhoun, T Adali 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2019 | 5 | 2019 |
Relationship between dynamic blood-oxygen-level-dependent activity and functional network connectivity: Characterization of schizophrenia subgroups Q Long, S Bhinge, VD Calhoun, T Adali Brain Connectivity 11 (6), 430-446, 2021 | 4 | 2021 |
Identification of subgroup differences using iva: application to fMRI data fusion Z Luo, Q Long, S Bhinge, MABS Akhonda, T Adali 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
A graph theoretical approach for performance comparison of ICA for fMRI analysis Q Long, S Bhinge, Y Levin-Schwartz, VD Calhoun, T Adalı 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 4 | 2017 |
Inexact proximal conjugate subgradient algorithm for fMRI data completion I Belyaeva, Q Long, T Adali 2020 28th European Signal Processing Conference (EUSIPCO), 1025-1029, 2021 | 2 | 2021 |